Publications by authors named "Laura Szabo"

Objective: This study aims to identify discrimination in maternity care experienced by Roma women in Hungary, due to ethnic and socio-economic factors.

Methods: We used data from the Cohort'18 Hungarian Birth Cohort Study, covering births in 2018-2019 (n = 7805). Face-to-face interviews were conducted by health visitors during pregnancy and six months postpartum.

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Background: As Hungary had the fifth-highest rate of low-birthweight (LBW) in the EU27 in 2020, LBW still remains a public health problem for the country.

Objective: Our goal is to examine whether LBW in Hungary is determined by the mothers' educational attainment, adjusted for other maternal characteristics (SES, health behaviour and psychological status during pregnancy) among mothers who gave birth in 2018-2019 in Hungary.

Methods: Source of data is the first and second wave of the Cohort '18 -Growing Up in Hungary longitudinal birth cohort study (n = 8185).

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Educational differences in female cohort fertility vary strongly across high-income countries and over time, but knowledge about how educational fertility differentials play out at the sub-national regional level is limited. Examining these sub-national regional patterns might improve our understanding of national patterns, as regionally varying contextual conditions may affect fertility. This study provides for the first time for a large number of European countries a comprehensive account of educational differences in the cohort fertility rate (CFR) at the sub-national regional level.

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Introduction: The glial differentiation in pediatric "supratentorial primitive neuroectodermal tumors" (sPNET) is occasionally revealed by immunohistochemistry with GFAP (glial fibrillary acidic protein) as isolated positive cells among undifferentiated cells, indicative of divergent cellular phenotypes. Large malignant glial tumors in sPNETs are extremely rare and challenge the neuropathologist by raising the possibility of glioblastomas with sPNET-like features (GB sPNET). The distinction between them is important because of their different treatment and prognostic.

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